Payload estimation based on identified coefficients of robot dynamics - With an application to collision detection

Claudio Gaz; Alessandro De Luca

doi:10.1109/IROS.2017.8206142

Payload estimation based on identified coefficients of robot dynamics - With an application to collision detection

Claudio Gaz, Alessandro De Luca

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	Published in: 2017, Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) : Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. pp. 3033-3040. Article number 8206142, ISSN (online) 2153-0858, ISBN (online) 9781538626825 Organising Body: IEEE Organising Body: IEEE
Pages	3033-3040
DOIs	https://doi.org/10.1109/IROS.2017.8206142
Publication status	Published - 26 Sept 2017

Bibliographical note

Note: Published in: 2017, Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) : Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. pp. 3033-3040. Article number 8206142, ISSN (online) 2153-0858, ISBN (online) 9781538626825

Organising Body: IEEE

Organising Body: IEEE

Keywords

Mechanical, aeronautical and manufacturing engineering

Access to Document

10.1109/IROS.2017.8206142

https://doi.org/10.1109/IROS.2017.8206142

1 Paper

Payload estimation based on identified coefficients of robot dynamics - With an application to collision detection
Gaz, C. & De Luca, A., 26 Sept 2017.
Research output: Contribution to conference › Paper › peer-review

Cite this

Gaz, C., & De Luca, A. (2017). Payload estimation based on identified coefficients of robot dynamics - With an application to collision detection. In Published in: 2017, Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) : Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. pp. 3033-3040. Article number 8206142, ISSN (online) 2153-0858, ISBN (online) 9781538626825 Organising Body: IEEE Organising Body: IEEE (pp. 3033-3040) https://doi.org/10.1109/IROS.2017.8206142

Gaz, Claudio ; De Luca, Alessandro. / Payload estimation based on identified coefficients of robot dynamics - With an application to collision detection. Published in: 2017, Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) : Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. pp. 3033-3040. Article number 8206142, ISSN (online) 2153-0858, ISBN (online) 9781538626825 Organising Body: IEEE Organising Body: IEEE. 2017. pp. 3033-3040

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Gaz, C & De Luca, A 2017, Payload estimation based on identified coefficients of robot dynamics - With an application to collision detection. in Published in: 2017, Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) : Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. pp. 3033-3040. Article number 8206142, ISSN (online) 2153-0858, ISBN (online) 9781538626825 Organising Body: IEEE Organising Body: IEEE. pp. 3033-3040. https://doi.org/10.1109/IROS.2017.8206142

Payload estimation based on identified coefficients of robot dynamics - With an application to collision detection. / Gaz, Claudio; De Luca, Alessandro.
Published in: 2017, Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) : Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. pp. 3033-3040. Article number 8206142, ISSN (online) 2153-0858, ISBN (online) 9781538626825 Organising Body: IEEE Organising Body: IEEE. 2017. p. 3033-3040.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Gaz C, De Luca A. Payload estimation based on identified coefficients of robot dynamics - With an application to collision detection. In Published in: 2017, Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) : Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. pp. 3033-3040. Article number 8206142, ISSN (online) 2153-0858, ISBN (online) 9781538626825 Organising Body: IEEE Organising Body: IEEE. 2017. p. 3033-3040 doi: 10.1109/IROS.2017.8206142